Data Quality Engineer - Azure Data Lake & PySpark

Confiz is seeking a Data Engineer to validate data pipelines and enhance data quality using Azure technologies. The role requires strong technical skills in PySpark and SQL, along with experience in data testing and Agile methodologies.

The ideal candidate will have a Bachelor's degree and 3-6 years in Data Engineering. You will work collaboratively with teams to uphold data integrity across platforms while managing multiple projects within tight deadlines.